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, machine learning applications, and analyses of individual disease trajectories. Your tasks will include: Integrate multimodal neuroimaging datasets from MRI, PET, EEG, and fNIRS studies Characterize brain
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Your Job Develop machine-learning–based workflows and scientific software for segmentation, species classification, and lineage tracking in multi-species time-lapse microscopy data Optimize models
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Your Job Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant applications, e.g
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processing conditions Apply data-driven and machine-learning methods for multi-objective optimization of efficiency, reproducibility, and operational stability Study intrinsic material stability
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. Potential approaches include data-driven parameter estimation for white-box models, the development of black-box models using machine learning methods (e.g., neural networks) and their combination
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, analysis of ancient or degraded data, machine learning, and the scaling of software and analysis pipelines. The successful candidate will notably be responsible for : Methodological and software
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Waveform Data and Audio Machine Learning, 2026, https://doi.org/10.1007/s40870-026-00510-3. Conformément aux engagements pris par le CEA en faveur de l'intégration des personnes handicapées, cet emploi
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EN FR Go back Scroll to top Share (PhD) Mechanisms of temporary hearing loss after an acoustic trauma Postdoctoral Position in AI, Machine Learning and Auditory Neuroscience © Research Job Postdoc
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Your Job In this position, you will join our Simulation and Data Lab for AI and Machine Learning for Remote Sensing . The lab advances interdisciplinary research and operational services by combining
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://odisce.github.io/) du CEA à Saclay (https://www.cea.fr/), spécialisée depuis plus de 15 ans dans le développement de méthodes en informatique mathématique (traitement du signal, machine learning